Literature DB >> 36094165

Neural synchronization is strongest to the spectral flux of slow music and depends on familiarity and beat salience.

Kristin Weineck1,2, Olivia Xin Wen1, Molly J Henry1,3.   

Abstract

Neural activity in the auditory system synchronizes to sound rhythms, and brain-environment synchronization is thought to be fundamental to successful auditory perception. Sound rhythms are often operationalized in terms of the sound's amplitude envelope. We hypothesized that - especially for music - the envelope might not best capture the complex spectro-temporal fluctuations that give rise to beat perception and synchronized neural activity. This study investigated (1) neural synchronization to different musical features, (2) tempo-dependence of neural synchronization, and (3) dependence of synchronization on familiarity, enjoyment, and ease of beat perception. In this electroencephalography study, 37 human participants listened to tempo-modulated music (1-4 Hz). Independent of whether the analysis approach was based on temporal response functions (TRFs) or reliable components analysis (RCA), the spectral flux of music - as opposed to the amplitude envelope - evoked strongest neural synchronization. Moreover, music with slower beat rates, high familiarity, and easy-to-perceive beats elicited the strongest neural response. Our results demonstrate the importance of spectro-temporal fluctuations in music for driving neural synchronization, and highlight its sensitivity to musical tempo, familiarity, and beat salience.
© 2022, Weineck et al.

Entities:  

Keywords:  Neural synchronization; human; music; neuroscience; reliable component analysis; spectral flux; tempo; temporal response function

Mesh:

Year:  2022        PMID: 36094165      PMCID: PMC9467512          DOI: 10.7554/eLife.75515

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.713


  58 in total

1.  Synchronization to metrical levels in music depends on low-frequency spectral components and tempo.

Authors:  Birgitta Burger; Justin London; Marc R Thompson; Petri Toiviainen
Journal:  Psychol Res       Date:  2017-07-15

2.  Neural entrainment to the rhythmic structure of music.

Authors:  Adam Tierney; Nina Kraus
Journal:  J Cogn Neurosci       Date:  2015-02       Impact factor: 3.225

3.  Music as a scaffold for listening to speech: Better neural phase-locking to song than speech.

Authors:  Christina M Vanden Bosch der Nederlanden; Marc F Joanisse; Jessica A Grahn
Journal:  Neuroimage       Date:  2020-03-23       Impact factor: 6.556

4.  Marching to the beat of the same drummer: the spontaneous tempo of human locomotion.

Authors:  Hamish G MacDougall; Steven T Moore
Journal:  J Appl Physiol (1985)       Date:  2005-05-12

5.  Neural oscillations are a start toward understanding brain activity rather than the end.

Authors:  Keith B Doelling; M Florencia Assaneo
Journal:  PLoS Biol       Date:  2021-05-04       Impact factor: 8.029

6.  Neural Oscillations Carry Speech Rhythm through to Comprehension.

Authors:  Jonathan E Peelle; Matthew H Davis
Journal:  Front Psychol       Date:  2012-09-06

7.  Directed Motor-Auditory EEG Connectivity Is Modulated by Music Tempo.

Authors:  Nicoletta Nicolaou; Asad Malik; Ian Daly; James Weaver; Faustina Hwang; Alexis Kirke; Etienne B Roesch; Duncan Williams; Eduardo R Miranda; Slawomir J Nasuto
Journal:  Front Hum Neurosci       Date:  2017-10-18       Impact factor: 3.169

8.  Music synchronizes brainwaves across listeners with strong effects of repetition, familiarity and training.

Authors:  Jens Madsen; Elizabeth Hellmuth Margulis; Rhimmon Simchy-Gross; Lucas C Parra
Journal:  Sci Rep       Date:  2019-03-05       Impact factor: 4.379

9.  The musicality of non-musicians: an index for assessing musical sophistication in the general population.

Authors:  Daniel Müllensiefen; Bruno Gingras; Jason Musil; Lauren Stewart
Journal:  PLoS One       Date:  2014-02-26       Impact factor: 3.240

10.  Music Familiarity Affects EEG Entrainment When Little Attention Is Paid.

Authors:  Yuiko Kumagai; Ryosuke Matsui; Toshihisa Tanaka
Journal:  Front Hum Neurosci       Date:  2018-11-06       Impact factor: 3.169

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